137 citations · 154 across the 11 of their papers we have counts for
3 papers · 1 filter
A Machine Learning Approach for Simultaneous Demapping of QAM and APSK Constellations
Arwin Gansekoele, Alexios Balatsoukas-Stimming, Tom Brusse +3
As telecommunication systems evolve to meet increasing demands, integrating deep neural networks (DNNs) has shown promise in enhancing performance. However, the trade-off between a…
The Berkelmans-Pries Feature Importance Method: A Generic Measure of Informativeness of Features
Joris Pries, Guus Berkelmans, Sandjai Bhulai +1
Over the past few years, the use of machine learning models has emerged as a generic and powerful means for prediction purposes. At the same time, there is a growing demand for int…
The Optimal Input-Independent Baseline for Binary Classification: The Dutch Draw
Joris Pries, Etienne van de Bijl, Jan Klein +2
Before any binary classification model is taken into practice, it is important to validate its performance on a proper test set. Without a frame of reference given by a baseline me…